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@time-series-machine-learning @aeon-toolkit
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Matthew Middlehurst

linkedin twitter googlescholar soton

My Skills

Hello, I am Matthew, a Research Fellow at the University of Southampton (Soton) in the United Kingdom. I primarily work on algorithms and tools for time series machine learning research.

Open-source contributions

I primarily work as a core developer on two main projects, but will occasionally contribute to other repositories.

  • aeon - A toolkit for time series machine learning algorithms, encompasses a number of learning tasks such as classification, regression, forecasting, anomaly detection and much more.
  • tsml-eval - A package for running experiments and benchmarking time series machine learning algorithm, primarily using algorithms from aeon and scikit-learn.

github stats


  1. aeon-toolkit/aeon aeon-toolkit/aeon Public

    A toolkit for machine learning from time series

    Python 853 90

  2. time-series-machine-learning/tsml-eval time-series-machine-learning/tsml-eval Public

    Evaluation tools for time series machine learning algorithms.

    Jupyter Notebook 25 9